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A common model approach to macroeconomics: using panel data to reduce sampling error

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  • William T. Gavin

    (Federal Reserve Bank of St. Louis, USA)

  • Athena T. Theodorou

    (Federal Reserve Bank of St. Louis, USA)

Abstract

Is there a common model inherent in macroeconomic data? Macroeconomic theory suggests that market economies of various nations should share many similar dynamic patterns; as a result, individual country empirical models, for a wide variety of countries, often include the same variables. Yet, empirical studies often find important roles for idiosyncratic shocks in the differing macroeconomic performance of countries. We use forecasting criteria to examine the macrodynamic behaviour of 15 OECD countries in terms of a small set of familiar, widely used core economic variables, omitting country-specific shocks. We find this small set of variables and a simple VAR 'common model' strongly support the hypothesis that many industrialized nations have similar macroeconomic dynamics. Copyright © 2005 John Wiley & Sons, Ltd.

Suggested Citation

  • William T. Gavin & Athena T. Theodorou, 2005. "A common model approach to macroeconomics: using panel data to reduce sampling error," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 24(3), pages 203-219.
    • Handle: RePEc:jof:jforec:v:24:y:2005:i:3:p:203-219
    DOI: 10.1002/for.954
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    References listed on IDEAS

    as
    1. Canova, Fabio, 2002. "G-7 Inflation forecasts," Working Paper Series 151, European Central Bank.
    2. William T. Gavin & Finn E. Kydland, 2000. "The nominal facts and the October 1979 policy change," Review, Federal Reserve Bank of St. Louis, vol. 82(Nov), pages 39-61.
    3. Christiano, Lawrence J. & Eichenbaum, Martin & Evans, Charles L., 1999. "Monetary policy shocks: What have we learned and to what end?," Handbook of Macroeconomics, in: J. B. Taylor & M. Woodford (ed.), Handbook of Macroeconomics, edition 1, volume 1, chapter 2, pages 65-148, Elsevier.
    4. Backus, David K & Kehoe, Patrick J, 1992. "International Evidence of the Historical Properties of Business Cycles," American Economic Review, American Economic Association, vol. 82(4), pages 864-888, September.
    5. William T. Gavin & Finn E. Kydland, 1999. "Endogenous Money Supply and the Business Cycle," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 2(2), pages 347-369, April.
    6. Canova, Fabio & Ciccarelli, Matteo, 2004. "Forecasting and turning point predictions in a Bayesian panel VAR model," Journal of Econometrics, Elsevier, vol. 120(2), pages 327-359, June.
    7. Diebold, Francis X & Mariano, Roberto S, 2002. "Comparing Predictive Accuracy," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 134-144, January.
    8. James H. Stock & Mark W.Watson, 2003. "Forecasting Output and Inflation: The Role of Asset Prices," Journal of Economic Literature, American Economic Association, vol. 41(3), pages 788-829, September.
    9. Fiorito, Riccardo & Kollintzas, Tryphon, 1994. "Stylized facts of business cycles in the G7 from a real business cycles perspective," European Economic Review, Elsevier, vol. 38(2), pages 235-269, February.
    10. Thursby, Jerry G., 1987. "OLS or GLS in the presence of specification error? : An expected loss approach," Journal of Econometrics, Elsevier, vol. 35(2-3), pages 359-374, July.
    11. Mojon, Benoît & Peersman, Gert, 2001. "A VAR description of the effects of monetary policy in the individual countries of the euro area," Working Paper Series 92, European Central Bank.
    12. Michael D. Bordo & John Landon Lane & Angela Redish, 2004. "Good versus Bad Deflation: Lessons from the Gold Standard Era," NBER Working Papers 10329, National Bureau of Economic Research, Inc.
    13. Thomas Doan & Robert B. Litterman & Christopher A. Sims, 1983. "Forecasting and Conditional Projection Using Realistic Prior Distributions," NBER Working Papers 1202, National Bureau of Economic Research, Inc.
    14. Sims, Christopher A, 1980. "Macroeconomics and Reality," Econometrica, Econometric Society, vol. 48(1), pages 1-48, January.
    15. Kim, Soyoung, 2002. "Exchange rate stabilization in the ERM: identifying European monetary policy reactions," Journal of International Money and Finance, Elsevier, vol. 21(3), pages 413-434, June.
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